airbyte connection check failed error state message missing for incremental sync

Not specified by the original author.

TL;DR

Fix the stream state handling in the source: an incremental Airbyte sync that ends without a state message cannot resume safely, so check the source state emission at the end of each stream and upgrade or patch the connector that drops it. Airbyte treats the state message as the bookmark for incremental syncs. A sync that reads records but emits no state forces the next run to start over or fail the connection check that validates state.

airbyte connection check failed error "state message missing for incremental sync"

Use this when

• The check or run fails with this symptom: an Airbyte connection check fails with state message missing for incremental sync.
• You are working on an Airbyte connection using an incremental source connector, often a custom or low-code connector and the failure repeats on the same data or configuration.
• You need the failing rows, rule, or stage isolated before changing thresholds or code.

Not for this skill when

• A full refresh connection, where no state message is expected and the failure lies elsewhere.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. Open the sync logs and find the last messages emitted for the failing stream. Verify: records were emitted but no state message follows them
2. Check the connector version and whether the stream declares incremental support with a cursor field. Verify: the stream cursor configuration is confirmed
3. For a custom connector, emit a state message with the cursor value at the end of each stream read, following the Airbyte protocol. Verify: a test read shows records followed by a state message
4. For a marketplace connector, upgrade to a version that emits state for that stream, or switch the stream to full refresh as a stopgap. Verify: the connection check passes
5. Run a full sync and then a second incremental sync. Verify: the second sync starts from the saved cursor and reads only new records

Variant phrasings

airbyte state message missing incremental sync

The shorter phrasing focused on the named failure.

airbyte connection check failed state message

The symptom phrasing a searcher tries next.

airbyte incremental sync state missing fix

The variant naming the failing stage or tool directly.

Compatibility: Airbyte protocol 0.2 and later, source connectors with incremental streams

Why it happens

State emission is the connector job, and some custom or older connectors finish a read without writing the final state, especially when a stream returns zero records or ends on an error path. The platform then has records with no bookmark and fails validation.

Edge cases / pitfalls

• A stream that returns zero new records still must emit state; the empty case is where custom connectors most often skip it.
• Switching to full refresh hides the bug and multiplies cost on large streams; treat it as a stopgap with a date, not the fix.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_3-bFNUe5SNn4e8c4075kDw

Resolved from the public thread: https://vectle.com/posts/pst_3-bFNUe5SNn4e8c4075kDw

Thread query: airbyte connection check failed error "state message missing for incremental sync"

TL;DR: Fix the stream state handling in the source: an incremental Airbyte sync that ends without a state message cannot resume safely, so check the source state emission at the end of each stream and upgrade or patch the connector that drops it. Airbyte treats the state message as the bookmark for incremental syncs. A sync that reads records but emits no state forces the next run to start over or fail the connection check that validates state.

Not specified by the original author.

TL;DR

The fix shipped in source-mongodb-v2 v2.0.4, announced by an Airbyte contributor on the thread. This was fixed in source-mongodb-v2 v2.0.4.

Steps

1. Incremental syncs from MongoDB to Postgres kept failing with java.lang.IllegalArgumentException: Saved offset is not valid. The sync would then retry from a full refresh, which was expensive on a large collection. A community member traced the bug in the connector code: the saved offset wasn't being updated correctly, so the next sync started from a stale offset. The fix shipped in source-mongodb-v2 v2.0.4, announced by an Airbyte contributor on the thread. A user ran the dev build for several days before the release and confirmed no further failures, then confirmed again on v2.0.4.
2. The connector had a bug where it didn't update the saved offset properly, so every incremental sync after the first choked on a stale offset and fell back to a full refresh. This was fixed in source-mongodb-v2 v2.0.4. Fix: upgrade the MongoDB source connector to v2.0.4 (or later) in your connection settings. Your next incremental syncs should pick up from the saved offset instead of erroring out. One user tested the dev build for days with zero failures before the release, and the Airbyte contributor confirmed the fix is live in v2.0.4.

When to use

You are seeing this: The sync would then retry from a full refresh, which was expensive on a large collection. Use this skill when you run into "Airbyte MongoDB incremental sync fails repeatedly with "Saved offset is not valid"".

When not to use

If your error message or symptom does not match what is described above, this is probably not your fix. Search for your exact error text instead of forcing this one to fit.

Versions

Versions mentioned in the source: source-mongodb-v2 v2.0.4. If you are on something much newer or older, the details may have shifted.

Why this happens

The original report does not dig into a root cause. It documents the symptom and the fix that resolved it.

The thread asked: Incremental syncs from MongoDB to Postgres kept failing with java.lang.IllegalArgumentException: Saved offset is not valid. The sync would then retry from a full refresh, which was expensive on a large collection. A community member traced the bug in the connector code: the saved offset wasn't being updated correctly, so the next sync started from a stale offset. The fix shipped in source-mongodb-v2 v2.0.4, announced by an Airbyte contributor on the thread. A user ran the dev build for several days before the release and confirmed no further failures, then confirmed again on v2.0.4.

The verified answer: The connector had a bug where it didn't update the saved offset properly, so every incremental sync after the first choked on a stale offset and fell back to a full refresh. This was fixed in source-mongodb-v2 v2.0.4. Fix: upgrade the MongoDB source connector to v2.0.4 (or later) in your connection settings. Your next incremental syncs should pick up from the saved offset instead of erroring out. One user tested the dev build for days with zero failures before the release, and the Airbyte contributor confirmed the fix is live in v2.0.4.

Thread: https://vectle.com/threads/thr_3hS2bArMaRF7SiFaW9tT6w

Not specified by the original author.

TL;DR

An Airbyte row count anomaly usually sits in the sync, not the check: open the sync history for the affected stream, compare source and destination counts per stream, and look for a reset, a schema change, or a cursor that stopped advancing. Fix the sync configuration or run a targeted backfill for the stream, then let the check re-evaluate.

how to fix row count anomaly failure error in airbyte sync data quality check

Use this when

• The check or run fails with this symptom: the data quality check on an Airbyte-synced table reports a row count anomaly.
• You are working on an Airbyte sync whose destination row counts trip the quality check and the failure repeats on the same data or configuration.
• You need the failing rows, rule, or stage isolated before changing thresholds or code.

Not for this skill when

• A check failing on a non-Airbyte pipeline, where sync history and cursors do not apply instead.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. Open the Airbyte sync history for the stream and record attempts, rows emitted, and any resets in the anomaly window. Verify: the sync history for the window is documented
2. Compare per-stream source counts with destination counts to isolate whether one stream or the whole connection drifted. Verify: the anomaly is scoped to a stream or the connection
3. Inspect the stream's cursor field and schema for changes that would stall or duplicate extraction. Verify: cursor and schema state are checked
4. Fix the configuration, clear a stuck cursor deliberately, or run a backfill for the affected window, documenting any reset's impact. Verify: the sync is corrected or the backfill is running with a known scope
5. After the sync completes, reconcile counts again and rerun the quality check. Verify: counts reconcile and the check passes

Variant phrasings

row count anomaly airbyte sync data quality

The verbatim Airbyte anomaly phrasing.

airbyte stream row count mismatch destination

The reconciliation phrasing for per-stream counts.

airbyte cursor stuck row count check failed

The cursor phrasing for stalled extraction.

Compatibility: Airbyte syncs with destination data quality checks on row counts

Why it happens

Airbyte moves data stream by stream with cursors, so a stalled cursor, a stream reset, or a source schema change alters destination counts in ways that look like data anomalies downstream. The quality check sees the destination only; the sync history holds the explanation.

Edge cases / pitfalls

• Resets re-sync full history and can duplicate if the destination write mode is append. Confirm the write mode first.
• Alert per stream, not per connection. One sick stream hides inside a healthy connection total.

Provenance

Resolved from the public thread: https://vectle.com/posts/psta4YSjnBnCieIowbDVTiUw

Resolved from the public thread: https://vectle.com/posts/psta4YSjnBnCieIowbDVTiUw

Thread query: how to fix row count anomaly failure error in airbyte sync data quality check

TL;DR: An Airbyte row count anomaly usually sits in the sync, not the check: open the sync history for the affected stream, compare source and destination counts per stream, and look for a reset, a schema change, or a cursor that stopped advancing. Fix the sync configuration or run a targeted backfill for the stream, then let the check re-evaluate.